U.S. Assisted Living Facility Market Size is valued at USD 103.5 Bn in 2024 and is predicted to reach USD 182.3 Bn by the year 2034 at a 5.9% CAGR during the forecast period for 2025-2034.
Assisted Living Facilities (ALFs) in the United States provide housing, personalized support services, and healthcare to older adults who require assistance with daily activities but do not need the level of care provided in nursing homes. These facilities offer a range of services, including meals, housekeeping, transportation, and help with personal care tasks such as bathing, dressing, and medication management.
The U.S. assisted living facility market has been growing steadily in recent years, driven by the increasing geriatric population and the rising demand for senior care services. According to the U.S. Census Bureau’s 2021 County Business Patterns Survey, states with the most assisted living communities include California (4,100), Washington (1,902), Florida (1,804), Texas (1,295), Wisconsin (1,272), and Oregon (1,208). One key factor behind this growth is the increasing awareness and desire of consumers to age in home-based services. Many older adults prefer to live in a comfortable, home-like environment that offers support and assistance with daily activities, while still maintaining a certain level of independence. Assisted living facilities provide a viable alternative to nursing homes, offering a more affordable and less restrictive option for seniors who require some level of care.
Most assisted living facilities include 24-hour monitoring and support, wellness programs, housekeeping, nourishment, medication management, transportation, and personal care. According to the National Center for Assisted Living, 80% of residents in assisted living facilities are pleased with their living arrangements. According to forecasts based on statistics from the United States Census Bureau, the senior population will grow significantly, requiring a major increase in the capacity of assisted living networks.
The U.S. Assisted Living Facility market is segmented by age. By age the market is segmented into More than 85, 75-84, 65-74, Less than 65.
The population aged 85 and older is one of the fastest-growing demographics in the U.S., with projections from the U.S. Census Bureau indicating it will more than double from 6.7 million in 2020 to 14.4 million by 2040. This segment's rapid growth is significantly impacting the U.S. Assisted Living Facility market. As life expectancy rises, a larger proportion of the elderly population is entering this age bracket, leading to increased demand for assisted living services. Individuals over 85 often face complex healthcare needs, including chronic illnesses and mobility challenges, which assisted living facilities address through medication management, personal care, and specialized healthcare services, including care for conditions like dementia and other age-related ailments.
| Report Attribute | Specifications |
| Market Size Value In 2024 | USD 103.5 Bn |
| Revenue Forecast In 2034 | USD 182.3 Bn |
| Growth Rate CAGR | CAGR of 5.9% from 2025 to 2034 |
| Quantitative Units | Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Age |
| Competitive Landscape | Kindred Healthcare, LLC, Brookdale Senior Living Inc., Sunrise Senior Living, LLC, Atria Senior Living, Inc., Five Star Senior Living, Capital Senior Living, Merrill Gardens, Integral Senior Living (ISL), Belmont Village, L.P., Gardant Management Solutions |
| Customization Scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
| Pricing and Available Payment Methods | Explore pricing alternatives that are customized to your particular study requirements. |
U.S. Assisted Living Facility Market by Age –
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.